emdann / multiOmic_benchmark

Comparison of multi-omic integration methods for single-cell data.

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Optimizing integration of scRNA-seq and scATAC-seq datasets

Content


  • /PBMC_benchmark/ comparison of integration methods on PBMC dataset from 10X genomics

    • 20191111_fracQuery_EDA.Rmd contains method run time and robustness analysis
    • 20191111_labelTransferEDA_PBMC.Rmd contains comparison of label transfer outcomes (visualization, prediction score analysis, KNN purity analysis)
    • 20191113_clusterSize_PBMC.Rmd contains comparison of dependency of label transfer on cluster size
  • /Thymus_benchmark/ comparison of integration methods and featurizarion strategies on Fetal thymus dataset

    • *_labelTransferEDA_thymus_v2* contain comparison of label transfer outcomes (visualization, prediction score analysis, KNN purity analysis), w different featurization strategy (binary gmat/counts gmat) and feature selection methods (joint/reference-based)
    • 20191125_gmat_EDA.Rmd exploration of featurization strategies outcomes on scATAC-seq data
  • /Tcell_maturation_analysis/ integrative analysis of T cell trajectory in fetal thymus

  • /preprocess/ scripts/notebooks for preprocessing and explorative data analysis of scRNA-seq and scATAC-seq datasets

  • /report/ bookdown project for final report

  • /run_integration_wrappers/ wrappers to run workflow for method comparison

  • /scIntegrationBM/ R package for bechmarking of integration methods (work in progress)

  • /test_methods/ scripts for reproducing vignettes of integration methods

  • /thrashNsnippets/ misc

Contact

Emma Dann (ed6@sanger.ac.uk)

About

Comparison of multi-omic integration methods for single-cell data.


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